An important application of text analytics is to automatically characterize the sentiment of documents in a variety of domains, whether it is positive, negative or neither. In this paper we explore the benefits of combining domain-specific linguistic rules with data mining methods to improve both the effectiveness of your models and the efficiency of the model builder.

Our world has changed drastically in the last 10 years. An individual’s opinions are no longer shared only with his or her

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